Use cases

AI in controlling: smart decisions, more efficiency

Controlling as a sparring partner for management – for well-founded strategic and operational decisions. Manual processes, static reports and inaccurate forecasts often make it difficult for controllers to react to market changes or internal deviations in good time. Artificial intelligence (AI) can be used to automate planning, analysis and reporting processes and make them much more precise. Real-time insights, precise forecasts and early warnings in the event of deviations provide companies with the agility they need to minimize risks, exploit opportunities and increase efficiency.

Artificial intelligence in controlling: use cases

Automated budget planning

Situation: Traditional budget planning often ties up a lot of resources, is time-consuming and is often based on assumptions rather than sound data. This not only leads to uncertainties, but also makes it difficult to manage resources flexibly.

Solution: By using artificial intelligence, historical financial and operational data can be systematically analyzed. AI recognizes recurring patterns, identifies trends and suggests realistic, data-based budget targets – adapted to your individual company situation.

Benefit: AI enables more precise planning, reduces manual effort and sustainably improves resource utilization and budget control.

Automated reporting

Situation: The manual creation of reports is often time-consuming and error-prone. Information is brought together from different sources, visualized and interpreted – a process that takes a lot of time and is difficult to scale.

Solution: Reports can be generated automatically using artificial intelligence: including appealing visualizations, clear summaries and comprehensible recommendations for action. The content is based on current data and can be reproduced at any time.

Benefit: AI ensures significant time savings, fewer sources of error and more efficient communication – both internally and with your stakeholders.

Identification of cost anomalies

Situation: Cost deviations and anomalies are often only recognized when they are already significant. Manual checking processes are often unable to react to changes in the output structures at an early stage.

Solution: Intelligence continuously analyzes your output data, recognizes patterns and automatically identifies deviations from the target. Integrated early warning systems allow you to proactively address risks before they become real problems.

Advantage: AI leads to reduced costs, faster responsiveness and more efficient corporate management overall.

Predictive analytics for key business figures

Problem: Forecasts for KPIs such as sales or costs are often inaccurate and offer little basis for decision-making. Solution: AI creates precise forecasts for key business indicators based on historical data and external influences. Benefits: Sound strategic planning, better target achievement and optimized resource allocation.

Real-time analysis of financial data

Problem: Financial reports often provide delayed and static information, making it difficult to make quick decisions. Solution: AI processes financial data in real time and provides dashboards with up-to-date insights. Benefits: Faster decision-making, improved transparency and reduced response times.

Further use cases

Discover exciting use cases from different areas of the company and be inspired by how other teams find and implement innovative solutions. This exchange opens up new perspectives and creates valuable synergies for joint growth.

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